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Tobba — CS2 Stats

76561199035653731[U:1:1075388003]✓ No bans

1,279Tracked matches50%Win rate2020Tracked since
CSDB Rating4.0 Developing
Premier CS Rating14,783Blue band · top ~29.5% of ranked players (population est.)
CSDB Leaderboard#8437 of 12812 tracked
FaceitLevel 5 · 944 ELOTop 67.6% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

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CSDB.GGTobbaFACEITLevel 5 · 944 ELOSTANDINGTop 67.6% of rankedPREMIER14,783 · Blue bandcsdb.gg/stats

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Performance scores

Aim53
Positioning39
Utility49

0–100 skill scores via Leetify.

Recent form

HOT45–53–2Last 10045%Win rateLWWWWLWWWL

Last 10 vs previous 10: +50pp win rate · +0.04 avg rating

Player DNA

Aim5.3
Aggression5.8
Utility4.9
Positioning3.9
Opening Duels1.9
Clutch3.4

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 83% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower positioning profile; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Counter-strafing. Only 62% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim5.3
Positioning3.9
Utility4.9
Mechanics2.6
Opening Duels1.9
Win Impact5.0

Composite 4.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time516ms−50ms
first ⅓ avg 566ms → last ⅓ avg 516ms
Headshot accuracy20.7%+0.9%
first ⅓ avg 19.8% → last ⅓ avg 20.7%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.14Best rating — mirage 13–3
13–2Biggest win — nuke
5Longest win streak
15–12In matches decided by ≤2 rounds
18Overtime games

Map breakdown

vertigoBest map · 58% over 12dust2Weakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
infernoC219–1243%-0.01
mirageC198–1142%-0.02
nukeB137–654%-0.02
vertigoA127–558%-0.02
dust2C104–640%-0.03
anubisC73–443%-0.02
cacheA74–357%-0.03
trainC52–340%-0.03
ancient—40–40%-0.05
overpass—21–150%-0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

456Matches
49%Win rate
0.80Avg K/D
77.2ADR
46%Headshot %

Clutches & streaks

37%1v1 clutch win
28%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage7957%0.9515.2
Inferno2564%0.9313.6
Nuke2152%1.1316.4
Ancient1753%0.9915.2
Dust21533%0.6611.9
Overpass875%1.0313.9
Cache650%0.8914.2
Train250%0.8611.5

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

20.1%Headshot accuracy
29.8%Accuracy (enemy spotted)
33.6%Spray accuracy
61.8%Counter-strafing
10.3°Preaim
526msReaction time
38.0%T opening success
36.8%CT opening success
0.55Enemies flashed / flash
3.8%Flash assists
9.59HE damage / grenade
9.69Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 38.044% — below the 40% mark we flag

Spend your practice time on Dust 2

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust29–130.0122%28 Aug →
inferno13–90.0123%28 Aug →
vertigo13–10-0.0316%28 Aug →
vertigo13–90.0112%27 Aug →
anubis19–160.0419%27 Aug →
inferno11–13-0.0517%27 Aug →
dust213–90.0425%27 Aug →
nuke13–11-0.0216%27 Aug →
train13–80.0135%27 Aug →
mirage9–13-0.0518%27 Aug →
mirage3–13-0.0623%27 Aug →
ancient5–12-0.0312%27 Aug →
anubis6–13-0.0123%27 Aug →
inferno6–13-0.0612%26 Aug →
nuke8–13-0.058%26 Aug →
anubis11–13-0.1120%26 Aug →
mirage5–13-0.0615%26 Aug →
cache13–8-0.0119%26 Aug →
nuke13–100.0330%26 Aug →
cache10–13-0.0420%26 Aug →
mirage16–13-0.0226%25 Aug →
dust213–10-0.0111%25 Aug →
vertigo4–130.0230%25 Aug →
mirage13–40.0231%25 Aug →
inferno11–130.0022%25 Aug →
cache17–19-0.0224%25 Aug →
vertigo13–11-0.0816%25 Aug →
nuke5–13-0.038%25 Aug →
mirage13–10-0.0319%25 Aug →
mirage16–140.0028%24 Aug →
train16–13-0.0422%24 Aug →
vertigo13–70.0445%24 Aug →
dust213–8-0.0217%24 Aug →
nuke11–130.0116%24 Aug →
cache3–13-0.078%24 Aug →
vertigo16–14-0.0416%24 Aug →
dust20–8-0.0717%24 Aug →
anubis2–13-0.0615%23 Aug →
inferno6–13-0.0333%23 Aug →
mirage11–13-0.0621%23 Aug →
mirage8–13-0.0817%14 Aug →
inferno8–130.0223%14 Aug →
dust24–13-0.0820%14 Aug →
inferno16–14-0.0120%14 Aug →
train10–130.0214%14 Aug →
vertigo11–13-0.0421%14 Aug →
dust24–13-0.0529%14 Aug →
nuke16–120.0316%13 Aug →
inferno16–14-0.0428%13 Aug →
anubis4–13-0.0515%13 Aug →
inferno16–120.0419%13 Aug →
train8–13-0.0614%13 Aug →
vertigo13–11-0.019%13 Aug →
mirage16–140.0220%13 Aug →
ancient6–13-0.0817%12 Aug →
overpass13–16-0.0425%12 Aug →
mirage10–130.0323%12 Aug →
inferno13–110.0129%12 Aug →
inferno13–16-0.0321%11 Aug →
mirage9–13-0.0322%11 Aug →
inferno10–130.0012%11 Aug →
mirage16–120.017%11 Aug →
vertigo13–8-0.0415%11 Aug →
mirage7–13-0.0321%11 Aug →
nuke13–110.0124%11 Aug →
anubis16–140.0421%11 Aug →
anubis13–3-0.0015%11 Aug →
cache13–6-0.0344%10 Aug →
mirage0–2-0.080%10 Aug →
inferno11–13-0.0635%10 Aug →
vertigo8–13-0.0226%10 Aug →
inferno6–13-0.0511%10 Aug →
train10–13-0.0716%10 Aug →
inferno13–10-0.0018%10 Aug →
nuke13–110.0022%10 Aug →
vertigo9–13-0.0119%10 Aug →
nuke9–13-0.1019%9 Aug →
mirage13–30.1425%9 Aug →
ancient14–16-0.0320%9 Aug →
inferno15–15-0.0315%9 Aug →
inferno3–13-0.0523%2 Aug →
inferno13–110.0335%2 Aug →
ancient9–13-0.0725%2 Aug →
overpass13–11-0.0716%2 Aug →
vertigo8–13-0.0912%2 Aug →
inferno13–70.0112%2 Aug →
dust211–13-0.0630%2 Aug →
dust213–8-0.0411%2 Aug →
nuke13–6-0.0616%2 Aug →
cache13–4-0.0126%2 Aug →
nuke10–13-0.0116%2 Aug →
cache13–3-0.019%30 Jul →
dust26–13-0.0517%30 Jul →
inferno13–8-0.0316%30 Jul →
nuke4–13-0.0715%30 Jul →
mirage15–15-0.0021%30 Jul →
nuke13–20.0311%30 Jul →
mirage13–11-0.0217%30 Jul →
mirage11–13-0.0420%30 Jul →
inferno3–130.0133%29 Jul →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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